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Analysis and Signal Processing of Oesophageal and Pathological Voices

  1. Research Article

    Jitter Estimation Algorithms for Detection of Pathological Voices

    This work is focused on the evaluation of different methods to estimate the amount of jitter present in speech signals. The jitter value is a measure of the irregularity of a quasiperiodic signal and is a good...

    Dárcio G. Silva, Luís C. Oliveira and Mário Andrea

    EURASIP Journal on Advances in Signal Processing 2009 2009:567875

    Published on: 18 August 2009

  2. Research Article

    Back-and-Forth Methodology for Objective Voice Quality Assessment: From/to Expert Knowledge to/from Automatic Classification of Dysphonia

    This paper addresses voice disorder assessment. It proposes an original back-and-forth methodology involving an automatic classification system as well as knowledge of the human experts (machine learning exper...

    Corinne Fredouille, Gilles Pouchoulin, Alain Ghio, Joana Revis, Jean-François Bonastre and Antoine Giovanni

    EURASIP Journal on Advances in Signal Processing 2009 2009:982102

    Published on: 19 July 2009

  3. Research Article

    Assessment of Severe Apnoea through Voice Analysis, Automatic Speech, and Speaker Recognition Techniques

    This study is part of an ongoing collaborative effort between the medical and the signal processing communities to promote research on applying standard Automatic Speech Recognition (ASR) techniques for the au...

    Rubén Fernández Pozo, Jose Luis Blanco Murillo, Luis Hernández Gómez, Eduardo López Gonzalo, José Alcázar Ramírez and Doroteo T. Toledano

    EURASIP Journal on Advances in Signal Processing 2009 2009:982531

    Published on: 14 June 2009

  4. Research Article

    On the Use of the Correlation between Acoustic Descriptors for the Normal/Pathological Voices Discrimination

    This paper presents an analysis system aiming at discriminating between normal and pathological voices. Compared to literature of voice pathology assessment, it is characterised by two aspects. First the syste...

    Thomas Dubuisson, Thierry Dutoit, Bernard Gosselin and Marc Remacle

    EURASIP Journal on Advances in Signal Processing 2009 2009:173967

    Published on: 7 June 2009

  5. Research Article

    A First Comparative Study of Oesophageal and Voice Prosthesis Speech Production

    The purpose of this work is to evaluate and to compare the acoustic properties of oesophageal voice and voice prosthesis speech production. A group of 14 Italian laryngectomized patients were considered: 7 wit...

    Massimiliana Carello and Mauro Magnano

    EURASIP Journal on Advances in Signal Processing 2009 2009:821304

    Published on: 2 June 2009

  6. Research Article

    Alternative Speech Communication System for Persons with Severe Speech Disorders

    Assistive speech-enabled systems are proposed to help both French and English speaking persons with various speech disorders. The proposed assistive systems use automatic speech recognition (ASR) and speech sy...

    Sid-Ahmed Selouani, Mohammed Sidi Yakoub and Douglas O'Shaughnessy

    EURASIP Journal on Advances in Signal Processing 2009 2009:540409

    Published on: 2 June 2009

  7. Research Article

    Removing the Influence of Shimmer in the Calculation of Harmonics-To-Noise Ratios Using Ensemble-Averages in Voice Signals

    Harmonics-to-noise ratios (HNRs) are affected by general aperiodicity in voiced speech signals. To specifically reflect a signal-to-additive-noise ratio, the measurement should be insensitive to other periodic...

    Carlos Ferrer, Eduardo González, María E. Hernández-Díaz, Diana Torres and Anesto del Toro

    EURASIP Journal on Advances in Signal Processing 2009 2009:784379

    Published on: 31 May 2009

  8. Research Article

    Analysis of Acoustic Features in Speakers with Cognitive Disorders and Speech Impairments

    This work presents the results in the analysis of the acoustic features (formants and the three suprasegmental features: tone, intensity and duration) of the vowel production in a group of 14 young speakers su...

    Oscar Saz, Javier Simón, W. Ricardo Rodríguez, Eduardo Lleida and Carlos Vaquero

    EURASIP Journal on Advances in Signal Processing 2009 2009:159234

    Published on: 26 May 2009

  9. Research Article

    Modelling Errors in Automatic Speech Recognition for Dysarthric Speakers

    Dysarthria is a motor speech disorder characterized by weakness, paralysis, or poor coordination of the muscles responsible for speech. Although automatic speech recognition (ASR) systems have been developed f...

    Santiago Omar Caballero Morales and Stephen J. Cox

    EURASIP Journal on Advances in Signal Processing 2009 2009:308340

    Published on: 11 May 2009

  10. Research Article

    Automated Intelligibility Assessment of Pathological Speech Using Phonological Features

    It is commonly acknowledged that word or phoneme intelligibility is an important criterion in the assessment of the communication efficiency of a pathological speaker. People have therefore put a lot of effort...

    Catherine Middag, Jean-Pierre Martens, Gwen Van Nuffelen and Marc De Bodt

    EURASIP Journal on Advances in Signal Processing 2009 2009:629030

    Published on: 10 May 2009